2019 · 12 citations · 9 references
EngineeringBiomedical EngineeringElectrical EngineeringBiosensorsLow-power DesignSensorsCardiac Signal ProcessingCardiovascular MonitoringEnergy-efficient Embedded SystemsPhysiological Signal AcquisitionWearable BiosensorsWearable Health TechnologiesBluetooth Low EnergyCompressive SensingHeart RateHeart Rate MonitoringLow-power Data AcquisitionPhotoplethysmographyPhysiological Signal ProcessingWearable Medical Devices
In this paper, we present our efforts towards packaging of a novel compressive sampling (CS) based ultra-low power photoplethysmography (PPG) application-specific integrated circuit (ASIC) into a wearable form factor. The system comprises of a custom PPG analog front-end circuit, integrated with a digital back-end to enable CS, and a commercial off-the-shelf (COTS) system-on-chip (SoC) for Bluetooth Low Energy (BLE) based wireless data transfer. The ASIC consumes <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$172 [\pmb \mu \mathrm{W}$</tex> power to extract heart rate from the sparse PPG signal where the whole system consumes 1.66 mW power for continuous streaming of heart rate data over the COTS BLE radio. This work presents the first ever demonstration of a CS based PPG ASIC in wrist-band form factors and paves our way towards deploying and evaluating this custom PPG ASIC in future clinical studies. The modular architecture of the wristband platform allows for incorporation of other sensors for future correlated sensing studies between health and environment.
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James Dieffenderfer, Henry Goodell, Steven Mills et al. · IEEE Journal of Biomedical and Health Informatics · 2016 · 209 citations · Full text
Venkata Rajesh Pamula, Jose Manuel Valero-Sarmiento, Long Yan et al. · IEEE Transactions on Biomedical Circuits and Systems · 2017 · 68 citations · Full text
Engineering, Biomedical Engineering, Electrical Engineering +17